WEBVTT - Big Tech’s AI Debt Is Raising Investors’ Eyebrows

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. Bloomberg Tech is alive

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<v Speaker 1>from coast to coast with Caroline Hide in New York

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<v Speaker 1>and ever though in San Francisco.

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<v Speaker 2>This is Bloomberg Tech coming up. All eyes on the

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<v Speaker 2>AI data center debt debate. We discussed stocks to watch

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<v Speaker 2>as big tech piles on big debt. Plus investors pull

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<v Speaker 2>three and a half billion dollars from bitcoin ets in

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<v Speaker 2>November as the underlying asset is its worst performance since

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<v Speaker 2>the twenty twenty two collapse, and the CEO of Ironq

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<v Speaker 2>joins as the company's new partnership to develop quantum enabled

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<v Speaker 2>drones for national security rolls out. But first let's check

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<v Speaker 2>in on these markets. We are on tenter hooks. We

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<v Speaker 2>of course have a shortened week, a holiday week as

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<v Speaker 2>we anticipate Thanksgiving in the United States, and still anxiety

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<v Speaker 2>bruise about which AI names to be holding onto into

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<v Speaker 2>the end of the year or to be selling. And

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<v Speaker 2>video just turned to the red. But I'm looking at

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<v Speaker 2>the Nazak one hundred holding onto games more than two

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<v Speaker 2>percent higher. Broadcom charges higher, Alphabet does two Bitcoin, though

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<v Speaker 2>not charging higher. We got some reprieve over the weekend

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<v Speaker 2>of course at Treys twenty four to seven, but we're

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<v Speaker 2>still down one and a half percent. Eighty six thousand

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<v Speaker 2>is where we currently see. We'll dive into bitcoin and

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<v Speaker 2>crypto a little bit more in the show, but move

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<v Speaker 2>on to the individual movers because a new record high.

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<v Speaker 2>Alphabet's up another five percent on the day, So much

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<v Speaker 2>love for Gemini three. Meanwhile, I'm seeing the socks doing well.

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<v Speaker 2>Broad Coms on the higher side. In fact, a lot

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<v Speaker 2>of the Magnificent seven names across the board of training

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<v Speaker 2>higher Teza for example. But want to shine to like

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<v Speaker 2>one particular tech stop right now. Amazon is in the green,

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<v Speaker 2>but we're sticking really with documents. More broadly in AI reviewing,

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<v Speaker 2>as Bloomberg has that Amazon's data center footprint has been

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<v Speaker 2>growing tremendously amid the AI boom. One key to this

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<v Speaker 2>is the use of co location facilities around the world.

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<v Speaker 2>This rented space to stash servers made up a fifth

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<v Speaker 2>are the company's cloud capacity last year. The person who's

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<v Speaker 2>been going through all the documents, as Bloomberg's Matt Day

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<v Speaker 2>who covers Amazon, Matt talk us through why this is

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<v Speaker 2>pretty amazing. Nine hundred data centers being own, managed, or

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<v Speaker 2>indeed least or co leased by Amazon.

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<v Speaker 3>Most people know that Amazon's cloud business is enormous, but

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<v Speaker 3>this kind of shows us exactly how enormous. Right, Most

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<v Speaker 3>cloud computing companies don't tell you exactly where their facilities are,

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<v Speaker 3>and one thing they really don't talk about is where

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<v Speaker 3>they rent space. So these documents we reviewed, you know,

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<v Speaker 3>as you said, it's about a fifth of aws's computing

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<v Speaker 3>power as of last year was provided by co location facilities.

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<v Speaker 3>These things are all over the world. There's hundreds and

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<v Speaker 3>hundreds of them. Just another way to underline how much

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<v Speaker 3>both they've grown during the AI boom and just how

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<v Speaker 3>wide their leaders in cloud computing.

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<v Speaker 2>Because Matt, we kind of think about Amazon, we think Virginia,

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<v Speaker 2>We think enormous data centers that they own, that they operate,

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<v Speaker 2>and that's the majority. But why have they needed to

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<v Speaker 2>build out these third parties, these co locations so much

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<v Speaker 2>more so? There's a couple of reasons.

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<v Speaker 3>I mean, one is when they set up shop in

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<v Speaker 3>a new market, sometimes they're not confident enough in the

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<v Speaker 3>ramp of demand that they want some options, right, go

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<v Speaker 3>rent some space, you know. Sometimes it's a speed to

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<v Speaker 3>market thing. You can expand faster and seeing a poor

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<v Speaker 3>buy renting space and you can by developing or purchasing

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<v Speaker 3>land and developing it yourself. So it's really a way

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<v Speaker 3>for them to get flexibility and the particularly internationally, which

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<v Speaker 3>is where we understand most of their collos are.

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<v Speaker 2>It's a deep dive. I urge people to go read it.

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<v Speaker 2>Matt Day, thanks for bringing us the latest on Amazon's

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<v Speaker 2>build out when it comes to AI infrastructure. But the

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<v Speaker 2>AI buildout is meant that, in fact, big tech firms

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<v Speaker 2>are taking on a lot of debt at the moment,

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<v Speaker 2>but the sale of issuance, the scale of it might

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<v Speaker 2>risk overwhelming buyers and it could weaken the credit market

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<v Speaker 2>on both sides of the Atlantic. That's according to analysts.

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<v Speaker 2>Let's debate all of that with j Hatfield, a CEO

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<v Speaker 2>and CIO and Infrastructure Capital Advisors. You actually own Amazon

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<v Speaker 2>in one of your funds, and I'm interested more broadly

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<v Speaker 2>about what you've thought about how companies are paying for

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<v Speaker 2>the build up in AI data centers right now? Jake,

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<v Speaker 2>does it give you pause?

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<v Speaker 4>Well, I think there's one area where people are concerned,

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<v Speaker 4>and that's because parts we've been saying for a while

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<v Speaker 4>that there's no bubble in the market as a whole,

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<v Speaker 4>but I do think there's bubbles in parts of the market.

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<v Speaker 4>Obviously crypto, but even with open Ai, they traded twenty

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<v Speaker 4>five times revenue versus seven times for the mag eight

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<v Speaker 4>and three times for the market, and that concerned about

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<v Speaker 4>open and they have one point four trillion of obligations,

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<v Speaker 4>so that concerned is leaking into other companies like Oracle,

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<v Speaker 4>But generally most of the commitments are coming from the

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<v Speaker 4>magate who have tremendous not just cash flow but free

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<v Speaker 4>cash flow, are great businesses, so we're not overall worried.

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<v Speaker 4>And also I just point out it's not so much

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<v Speaker 4>people think they're going to default. It just applying man

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<v Speaker 4>Oracles CBS is like one hundred and ten over, which

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<v Speaker 4>is not that attractive even for investment grade. So just

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<v Speaker 4>that there has been a lot of issuance that means

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<v Speaker 4>that you have to pay more to issue. So I

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<v Speaker 4>don't think it's a big credit concern, But there's an

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<v Speaker 4>open issue about really whether open Ai, if you will,

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<v Speaker 4>will really be able to beat out Google and other

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<v Speaker 4>incumbents in the long run, and whether that's a little

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<v Speaker 4>bit of a bubble.

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<v Speaker 2>We're looking at credit default swaps of Oracle right now,

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<v Speaker 2>which have almost been used as a hedge. To your point,

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<v Speaker 2>many aren't thinking Oracles about the default, but there have

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<v Speaker 2>been placed perhaps on watch negative by some of the

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<v Speaker 2>big rating companies and people just thinking that this is

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<v Speaker 2>a way in which you perhaps protect yourself to the downside.

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<v Speaker 2>I'm interested, Jay, therefore, on how we've seen Mazooho calling

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<v Speaker 2>it out today saying that many have been shorting supplies

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<v Speaker 2>to open Ai while buying into suppliers of Google for example.

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<v Speaker 2>How long can that tension last?

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<v Speaker 4>Well, we think it's probably that trades are getting a

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<v Speaker 4>little bit tired. You notice said Oracle is bouncing back,

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<v Speaker 4>you know, the stalk with fifty percent higher or thirty

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<v Speaker 4>three percent higher if you will, Yeah, fifty percent upside

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<v Speaker 4>from here, just you know, three weeks ago, three four

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<v Speaker 4>weeks ago. So I think that trade's probably fully done.

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<v Speaker 4>Microsoft is getting getting smacked and is pretty cheap, so

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<v Speaker 4>open Aye is not dead yet. It's just that there's

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<v Speaker 4>clearly competition to the retail side, so that I think

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<v Speaker 4>is mostly priced in. Also, keep in mind that we

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<v Speaker 4>had normal market weakness after earning season, the market was

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<v Speaker 4>fully valued. We had a seven thousand target. We were

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<v Speaker 4>just shy of that. Maggie was slightly overvalued by our models.

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<v Speaker 4>So some pullback and readjustment is normal this time of year,

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<v Speaker 4>right after earning season.

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<v Speaker 2>I mean, the hundreds of millions of chutching PTUs as

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<v Speaker 2>would definitely say that everyone AI is anything but dead.

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<v Speaker 2>But the anxiety, in many ways, this is built at

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<v Speaker 2>the same time as we saw warriors in the market

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<v Speaker 2>about not getting a rate cut in December. How much

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<v Speaker 2>is this is macro? How much of this is actually

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<v Speaker 2>specific to AI?

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<v Speaker 4>Well, you know, I would have said, actually incorrectly, I

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<v Speaker 4>guess that the FED was not a big overhend hanging

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<v Speaker 4>on the market. But you did see Friday that the

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<v Speaker 4>Williams comments, which are important the head of the New

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<v Speaker 4>York FED is a permanent member of the FOMC. His

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<v Speaker 4>dubbish comments kind of turned everything around. I think too much.

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<v Speaker 4>I think it's at best fifty to fifty we get

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<v Speaker 4>a cut, but because of Williams, will at least get

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<v Speaker 4>a dubvish pause. And all that really matters is that

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<v Speaker 4>we keep the tenure round four percent. To keep the

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<v Speaker 4>tenure round four you need the terminal rate to be

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<v Speaker 4>about three. You can track that on a terminal MIPR,

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<v Speaker 4>and so as long as investors think there will be cuts,

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<v Speaker 4>they don't have to be In December.

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<v Speaker 2>Jay, I want to ask you a question of out

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<v Speaker 2>really and who is driving this market because has this

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<v Speaker 2>sell off washed out some of the long only long

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<v Speaker 2>term investors in the AI trade or has this been

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<v Speaker 2>more quants, Has this been more retail, Has this been

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<v Speaker 2>more short term investors that have seen some of the

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<v Speaker 2>downside of Lake.

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<v Speaker 4>Well, it's absolutely blown up the momentum. Short term traders,

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<v Speaker 4>whether the institutional or retail, are funds, you know, like

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<v Speaker 4>we hold Amazon and IICAP, they've actually been outperforming because

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<v Speaker 4>they're more conservative. We have few tech stocks there, but

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<v Speaker 4>more dividend stocks, small caps of doing well like our

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<v Speaker 4>s cap fund third stocks. So we actually like these

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<v Speaker 4>kind of markets because people have focused on cash flow

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<v Speaker 4>and earnings and valuation typically outperform and they're really dumb

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<v Speaker 4>stuff like crypto treasury companies that are no longer needed

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<v Speaker 4>because we have ETFs get washed out. So really healthy

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<v Speaker 4>pull back with most of the really damage coming to

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<v Speaker 4>the to the investors that don't pay attention to valuation.

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<v Speaker 2>I just want to go full circle HEREJ, because we

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<v Speaker 2>end we started on Amazon, we end on Amazon. I

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<v Speaker 2>know you hold Amazon, and we just got breaking news

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<v Speaker 2>that AWS is going to be building and deploying the

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<v Speaker 2>first ever AI and high performance computing purpose built infrastructure

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<v Speaker 2>for the US government new investment nearly one point th

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<v Speaker 2>we giggaats they're talking about fifty billion dollars here J,

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<v Speaker 2>Is that how you want to see Amazon committing to

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<v Speaker 2>the AI trade?

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<v Speaker 4>Absolutely, we think that they are still the leader in

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<v Speaker 4>the cloud service business. But what we think is missed

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<v Speaker 4>and why we're bullish on Amazon beyond just the normal

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<v Speaker 4>EI trade, is that they have this gigantic retail business

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<v Speaker 4>we all know, and they now have professional management that's

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<v Speaker 4>working to make it adequately profitable. So that's creating tremendous

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<v Speaker 4>earnings growth away from the AI trade, and we think

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<v Speaker 4>it's underappreciated. You know, it includes advertising, which is really

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<v Speaker 4>a cost offset. So that's the biggest reason we're bullish

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<v Speaker 4>on AWS and Amazon because they do have a little

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<v Speaker 4>bit of a disadvance because they're an incumbent and everybody

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<v Speaker 4>else is pouring money into cloud service business. They have

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<v Speaker 4>strong competitors there, but an underappreciated retail business with a

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<v Speaker 4>lot of upside on profitability.

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<v Speaker 2>J Hatfield, I've structed Capital Advisors. Great to have some

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<v Speaker 2>time with you. Wish you are very happy Thanksgiving And

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<v Speaker 2>while coming up US commerce sextorly, Howard Utnick says the

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<v Speaker 2>decision for in video chip sales to China, whether they're

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<v Speaker 2>on President Trump's desk more on H two hundred's being debated. Next. Meanwhile,

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<v Speaker 2>let's check in on what Ali Baba is up to.

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<v Speaker 2>Shares had been surging today the ADRs, in particular why

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<v Speaker 2>well Quinn The app drew more than ten million downloads

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<v Speaker 2>in the week after its relaunch. This is all about

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<v Speaker 2>its generator of AI offering as well. From New York

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<v Speaker 2>disciply by Tech.

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<v Speaker 5>Do you want to sell China some chips and keep

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<v Speaker 5>them using our tech and our tech stack, or do

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<v Speaker 5>you say to them, look, we're not going to sell

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<v Speaker 5>you our best chips. We just going to hold off

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<v Speaker 5>on that and we're going to compete in the AI

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<v Speaker 5>race ourselves. So that is the question. It's in front

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<v Speaker 5>of the President. He's going to decide. It's a really

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<v Speaker 5>really interesting question. He's got all the information, he's got

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<v Speaker 5>lots and lots of experts talking to him, and he's

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<v Speaker 5>going to decide which way he wants to go forward.

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<v Speaker 2>US Commas Secretary Howard Ladings meeking of bluembog surveillance earlier today,

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<v Speaker 2>as President Trump wighs whether or not to allow the

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<v Speaker 2>sales of Nvidia AI chips to China, for all, Blue

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<v Speaker 2>Vagazine and Tech editor Mike Sheppard joins us with the

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<v Speaker 2>nuance that this is potentially H two hundreds that are

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<v Speaker 2>being debated, more sophisticated than H twenties that already we

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<v Speaker 2>understand they would allow to be sold with a fifteen

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<v Speaker 2>percent cut. But even that hasn't got legal sign off.

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<v Speaker 6>Well, that doesn't have legal sign off, and this falls

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<v Speaker 6>short of the Blackwell design chips that have been bandied

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<v Speaker 6>about just a few weeks ago as the President was

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<v Speaker 6>prepared to meet with his Chinese counterpart, Hiesipang. Ultimately that

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<v Speaker 6>kind of a transaction never even came up in the

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<v Speaker 6>conversations between the two leaders. And yet the whole broader

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<v Speaker 6>issue of whether Nvidia would be able to sell a

0:12:14.640 --> 0:12:18.760
<v Speaker 6>more sophisticated version of its AI chips to China really

0:12:18.800 --> 0:12:22.320
<v Speaker 6>hasn't gone away completely. And we had our exclusive last

0:12:22.320 --> 0:12:25.400
<v Speaker 6>week Cara that you saw showing that the President and

0:12:25.480 --> 0:12:28.880
<v Speaker 6>his advisors are deliberating this question, and it appears that

0:12:28.920 --> 0:12:31.360
<v Speaker 6>they are settled on whether or not to allow the

0:12:31.520 --> 0:12:34.160
<v Speaker 6>H two hundred, which is of the Hopper design and

0:12:34.480 --> 0:12:37.959
<v Speaker 6>still a very fast and very powerful AI chip. If

0:12:38.000 --> 0:12:40.440
<v Speaker 6>they allowed this sale, it would be a big change

0:12:40.440 --> 0:12:44.200
<v Speaker 6>in US export control policy with respect to China and

0:12:44.400 --> 0:12:48.000
<v Speaker 6>artificial intelligence. The Trump administration and its predecessor of the

0:12:48.000 --> 0:12:51.920
<v Speaker 6>Biden administration view China as the top us competitor in

0:12:51.960 --> 0:12:56.720
<v Speaker 6>this area of artificial intelligence, and granting them China that

0:12:56.920 --> 0:12:59.080
<v Speaker 6>is the technology to be able to advance in this

0:12:59.200 --> 0:13:02.120
<v Speaker 6>race is a very sensitive question here in Washington.

0:13:02.440 --> 0:13:06.439
<v Speaker 2>Yeah, how does it break down on Hawk lines, on

0:13:06.520 --> 0:13:09.600
<v Speaker 2>those in the administration and those around the administration, because

0:13:09.720 --> 0:13:11.960
<v Speaker 2>there is this ongoing tussle as to whether or not

0:13:12.040 --> 0:13:14.680
<v Speaker 2>in Video, which of course itself wants access to China,

0:13:14.840 --> 0:13:18.520
<v Speaker 2>would just be allowing domestic competitors to brew if they're

0:13:18.600 --> 0:13:19.360
<v Speaker 2>unable to sell.

0:13:20.640 --> 0:13:22.680
<v Speaker 6>Well, Kar, I'm glad you asked that, because that really

0:13:22.800 --> 0:13:25.360
<v Speaker 6>is the debate right now, and Jensen Wang is very

0:13:25.440 --> 0:13:28.680
<v Speaker 6>much at the center. He has been arguing that, look,

0:13:28.720 --> 0:13:31.559
<v Speaker 6>if we want to compete with China, globally in the

0:13:31.679 --> 0:13:35.160
<v Speaker 6>race for artificial intelligence dominance, we need to be able

0:13:35.160 --> 0:13:37.600
<v Speaker 6>to compete inside China too, and that means we will

0:13:37.640 --> 0:13:41.280
<v Speaker 6>have to sell some of our technology in the Chinese market,

0:13:41.400 --> 0:13:45.320
<v Speaker 6>which happens to be the world's largest market for semiconductors

0:13:45.400 --> 0:13:47.719
<v Speaker 6>right now. Now, that is an argument that is one

0:13:47.800 --> 0:13:51.240
<v Speaker 6>some favorite inside the administration. You heard during the interview

0:13:51.360 --> 0:13:54.880
<v Speaker 6>this morning between our colleagues Lisa Bramowitz and Danny Berger

0:13:55.000 --> 0:13:58.960
<v Speaker 6>and the Commerce Secretor, Howard Lutnik. The Secretary articulated that

0:13:59.160 --> 0:14:01.959
<v Speaker 6>himself that there is is attention and a debate. There

0:14:02.000 --> 0:14:05.080
<v Speaker 6>are others who are more hawkish on the national security side,

0:14:05.080 --> 0:14:08.760
<v Speaker 6>though Caro, who view granting China any sort of access

0:14:08.800 --> 0:14:12.680
<v Speaker 6>to this sophisticated technology simply paves the way for creating

0:14:12.760 --> 0:14:17.000
<v Speaker 6>more risk for the US. It would grant Beijing's authorities,

0:14:17.000 --> 0:14:22.600
<v Speaker 6>including the military and intelligence apparatus, access to more sophisticated

0:14:22.880 --> 0:14:26.680
<v Speaker 6>technology and artificial intelligence that they currently than they currently

0:14:26.720 --> 0:14:29.800
<v Speaker 6>have right now, and it could allow for more surveillance

0:14:30.120 --> 0:14:33.880
<v Speaker 6>and other uses in advanced weaponry that the US would

0:14:33.960 --> 0:14:35.560
<v Speaker 6>just as soon not see happen.

0:14:36.000 --> 0:14:39.360
<v Speaker 2>Bloombags mac Shephard. We appreciate you joining today, thank you

0:14:39.400 --> 0:14:41.800
<v Speaker 2>so much. Meanwhile, the President Trump is busy. He's also

0:14:41.920 --> 0:14:45.120
<v Speaker 2>escalating his attacks on the media, saying television networks shouldn't

0:14:45.120 --> 0:14:47.480
<v Speaker 2>be allowed to expand. Now in a post on truth

0:14:47.480 --> 0:14:49.720
<v Speaker 2>Social Trump's side to concerns about the potential growth of

0:14:49.840 --> 0:14:53.680
<v Speaker 2>left leaning news outlets. This in response to a Newsmax

0:14:53.720 --> 0:14:57.120
<v Speaker 2>report claiming that FEC Commissioner Brennan kar was moving to

0:14:57.120 --> 0:14:59.840
<v Speaker 2>give TV networks great to reach to the proposed merger

0:14:59.880 --> 0:15:03.320
<v Speaker 2>of Next and Tegna for multebricate HORTWN in this world

0:15:03.320 --> 0:15:05.280
<v Speaker 2>of m and A has been most lucas sure, so

0:15:05.480 --> 0:15:09.400
<v Speaker 2>called left leaning news outlets bearing the brund to the attacks.

0:15:09.480 --> 0:15:11.520
<v Speaker 2>But does this mean we're not going to see the

0:15:11.640 --> 0:15:14.200
<v Speaker 2>m and A that we're anticipating in the industry right now?

0:15:15.000 --> 0:15:19.480
<v Speaker 7>Always hard to interpret what President Trump's posts on social

0:15:19.520 --> 0:15:22.560
<v Speaker 7>media actually mean as it pertains the policy. I mean,

0:15:22.680 --> 0:15:25.800
<v Speaker 7>there's also those are different types of consolidation, right You've

0:15:25.840 --> 0:15:30.400
<v Speaker 7>got the continued potential sale of Warner Brothers Discovery, where

0:15:30.400 --> 0:15:32.840
<v Speaker 7>you have Comcast, which owns NBC, one of the networks

0:15:32.840 --> 0:15:35.360
<v Speaker 7>that he talked about is a suitor. You have Paramount,

0:15:35.360 --> 0:15:38.240
<v Speaker 7>which owned CBS, which he exempted because I think he

0:15:38.440 --> 0:15:40.880
<v Speaker 7>likes them as a potential suitor. And then Netflix, which

0:15:40.920 --> 0:15:43.160
<v Speaker 7>does an owner broadcast network, and then you've got the

0:15:43.160 --> 0:15:46.360
<v Speaker 7>consolidation in the local television station space, which is what

0:15:46.480 --> 0:15:49.880
<v Speaker 7>Brendan Carr has been calling for. But Brendan Carr sees

0:15:49.920 --> 0:15:52.880
<v Speaker 7>this almost as a check against the networks because the

0:15:52.920 --> 0:15:56.200
<v Speaker 7>more power that the station owners have, they can actually

0:15:56.440 --> 0:15:58.880
<v Speaker 7>potentially win in negotiations with the networks. So I'm not

0:15:58.880 --> 0:16:01.480
<v Speaker 7>really sure whose side he on here. You assume that

0:16:01.520 --> 0:16:04.400
<v Speaker 7>Brendan Carr is pushing the agenda that he is because

0:16:04.440 --> 0:16:07.120
<v Speaker 7>Trump supports him, because that has generally been his MO.

0:16:07.600 --> 0:16:09.880
<v Speaker 7>But I guess we'll find out more as this sort

0:16:09.880 --> 0:16:11.080
<v Speaker 7>of plays out in public.

0:16:11.200 --> 0:16:13.240
<v Speaker 2>Well, the big playing out that we're all watching and

0:16:13.480 --> 0:16:16.040
<v Speaker 2>initial bids are in is for Warner Brothers. Discovery, which

0:16:16.040 --> 0:16:18.760
<v Speaker 2>owns CNN, is part of that. Yeah, where do we stand.

0:16:18.800 --> 0:16:20.400
<v Speaker 2>I mean, you have a great piece out of the Weekend,

0:16:20.440 --> 0:16:21.920
<v Speaker 2>as you always do in this one, really just showing

0:16:21.920 --> 0:16:25.440
<v Speaker 2>how much Netflix is sort of bowing to potential changes

0:16:25.440 --> 0:16:27.040
<v Speaker 2>in its own business model if it was to win.

0:16:27.320 --> 0:16:32.280
<v Speaker 7>Yeah, So Netflix, Comcast, and Paramount all submit bids on Wednesday,

0:16:33.360 --> 0:16:37.120
<v Speaker 7>excuse me, Thursday, they've done a very good job of

0:16:37.320 --> 0:16:38.560
<v Speaker 7>keeping the content of.

0:16:38.520 --> 0:16:39.520
<v Speaker 2>Those bids quiet.

0:16:39.560 --> 0:16:42.040
<v Speaker 7>We've tried to get some information others have as well.

0:16:42.440 --> 0:16:45.680
<v Speaker 7>I mean we know sort of the general framework, we

0:16:45.760 --> 0:16:49.360
<v Speaker 7>just don't know the pricing. Expectations are that the Warner

0:16:49.400 --> 0:16:53.000
<v Speaker 7>Brothers Discovery Board will review those bids, or has reviewed

0:16:53.000 --> 0:16:56.480
<v Speaker 7>those bids. They'll go back to the three companies and say,

0:16:56.520 --> 0:16:58.960
<v Speaker 7>you know, we need more here, we need less there.

0:16:59.240 --> 0:17:02.080
<v Speaker 7>And it is also so my understanding is still open.

0:17:02.200 --> 0:17:04.480
<v Speaker 7>So if someone else wanted to come in and make

0:17:04.480 --> 0:17:07.000
<v Speaker 7>an offer, they are still available, They're still able to

0:17:07.040 --> 0:17:09.120
<v Speaker 7>We're not in an exclusive period where someone else can't

0:17:09.160 --> 0:17:09.840
<v Speaker 7>jump in yet.

0:17:10.320 --> 0:17:13.760
<v Speaker 2>We'll see how that continues to be picked away at

0:17:13.880 --> 0:17:15.800
<v Speaker 2>by some of the key reporters. Lukashaw will be strong

0:17:15.840 --> 0:17:18.840
<v Speaker 2>among them, I'm certain. So keep eyes on NIOS bids.

0:17:24.160 --> 0:17:27.119
<v Speaker 2>Quantum computing firm IONQ, well, it's just announced the partnership

0:17:27.320 --> 0:17:31.800
<v Speaker 2>with Heaven Aerotech to develop quantum enabled drones as a

0:17:31.840 --> 0:17:34.480
<v Speaker 2>move that will boost iron Qu's presence in national security sector.

0:17:34.520 --> 0:17:37.439
<v Speaker 2>Let's discuss this plan with IMQ CEO Nicolo de Massi. So,

0:17:37.600 --> 0:17:41.879
<v Speaker 2>why does quantum tech need to be introduced to drones? Niccolo.

0:17:43.240 --> 0:17:46.960
<v Speaker 8>Well, it's part of our broader field actually of driving

0:17:47.000 --> 0:17:50.960
<v Speaker 8>the quantum Internet and our full solutions of quantum computing,

0:17:51.080 --> 0:17:54.280
<v Speaker 8>quantum networking and quantum sensing into every theater.

0:17:55.040 --> 0:17:55.439
<v Speaker 6>So we have.

0:17:55.560 --> 0:17:59.719
<v Speaker 8>Quantum sensors that work on submarines for inertial navigation and

0:17:59.800 --> 0:18:01.959
<v Speaker 8>on ships on the top of the ocean. We of

0:18:01.960 --> 0:18:05.280
<v Speaker 8>course have quantum networks in quantum computers on the land,

0:18:05.480 --> 0:18:09.439
<v Speaker 8>and we're building quantum economies in various jurisdictions and states

0:18:09.440 --> 0:18:12.200
<v Speaker 8>around the world. And of course we've also got our

0:18:12.200 --> 0:18:16.280
<v Speaker 8>satellite signals intelligence business up in space, and so drones

0:18:16.320 --> 0:18:19.399
<v Speaker 8>were the missing piece of the four theaters. Where we

0:18:19.440 --> 0:18:23.600
<v Speaker 8>now have quantum networking, quantum computing, and quantum sensors in

0:18:23.680 --> 0:18:25.680
<v Speaker 8>partnership with Heaven up in the air.

0:18:26.640 --> 0:18:29.199
<v Speaker 2>What will it help Heaven do? And why are you

0:18:29.280 --> 0:18:33.199
<v Speaker 2>going with Heaven when it's still undergoing field evaluation with

0:18:33.480 --> 0:18:34.360
<v Speaker 2>the US military.

0:18:35.760 --> 0:18:39.560
<v Speaker 8>Well, look, it's a partnership that is fantastically pioneering given

0:18:39.600 --> 0:18:43.000
<v Speaker 8>the range of their drones, their hydrogen powered. Obviously this

0:18:43.040 --> 0:18:46.920
<v Speaker 8>doesn't prohibit us from broadening out our engagement with the

0:18:47.240 --> 0:18:51.080
<v Speaker 8>drone ecosystem. At the same time, you know, they're very

0:18:51.200 --> 0:18:53.480
<v Speaker 8>tech forward as an organization, and so we love the

0:18:53.520 --> 0:18:56.880
<v Speaker 8>fact that they want to pioneer with us quantum networking

0:18:56.880 --> 0:19:00.560
<v Speaker 8>communications between drones in their fleet. They want to work

0:19:00.560 --> 0:19:03.479
<v Speaker 8>with us on our quantum computers to help, you know,

0:19:03.600 --> 0:19:08.359
<v Speaker 8>not only coordinate their fleet, but also enact surveillance and

0:19:08.520 --> 0:19:13.200
<v Speaker 8>early signal detection using our computers in conjunction with satellite

0:19:13.240 --> 0:19:16.639
<v Speaker 8>imagery that we can provide, plus of course imagery that

0:19:16.680 --> 0:19:19.320
<v Speaker 8>they can provide. And then, last but not least, of course,

0:19:19.359 --> 0:19:24.280
<v Speaker 8>they're interested in embedding our quantum sensors and positioning, navigation

0:19:24.400 --> 0:19:28.560
<v Speaker 8>and time advances and technologies into their drone platform. So

0:19:29.320 --> 0:19:30.840
<v Speaker 8>you know, where there's a will is a way, right,

0:19:31.119 --> 0:19:33.359
<v Speaker 8>And the reality is we consider ourselves to be a

0:19:33.400 --> 0:19:37.680
<v Speaker 8>pioneering company. Thirty years making we have led every aspect

0:19:37.840 --> 0:19:40.879
<v Speaker 8>of quantum computing and quantum networking and quantum sensing for

0:19:41.119 --> 0:19:43.720
<v Speaker 8>thirty years. We're the first public company in the space,

0:19:43.800 --> 0:19:46.440
<v Speaker 8>the first machines that turned on, the first machines on

0:19:46.480 --> 0:19:50.159
<v Speaker 8>the public cloud, and today we're extending that capability to

0:19:50.200 --> 0:19:52.840
<v Speaker 8>another theater, which we find tremendously exciting.

0:19:53.760 --> 0:19:56.480
<v Speaker 2>There, of course, pioneering and hydrogen. You're saying you're pioneering

0:19:56.520 --> 0:20:00.520
<v Speaker 2>by being first public company really focused on quantum, What

0:20:00.600 --> 0:20:02.679
<v Speaker 2>actually are you doing for your partners right now, Niclo.

0:20:02.760 --> 0:20:05.920
<v Speaker 2>Many understand the promise of quantum, but you say you're

0:20:05.920 --> 0:20:08.520
<v Speaker 2>in the field with RQ FOURTE, with Q four D Enterprise,

0:20:08.560 --> 0:20:11.960
<v Speaker 2>you're already working with AWS with AstraZeneca and video. You

0:20:12.000 --> 0:20:15.080
<v Speaker 2>sort of say you're achieving twenty x performance results, performance

0:20:15.119 --> 0:20:15.919
<v Speaker 2>results of what.

0:20:17.520 --> 0:20:20.359
<v Speaker 8>Yeah, So the Astrosenic in partnership that you're referring to

0:20:20.560 --> 0:20:24.320
<v Speaker 8>is I think the most powerful example of what we

0:20:24.440 --> 0:20:28.960
<v Speaker 8>call quantum advantage that's ever been generated in history. And

0:20:29.000 --> 0:20:30.760
<v Speaker 8>so I qus proud of the fact that we have

0:20:30.880 --> 0:20:34.919
<v Speaker 8>pioneered every aspect of the quantum revolution, both commercially. In

0:20:34.960 --> 0:20:37.800
<v Speaker 8>the lab, we're the first company to achieve what's called

0:20:37.960 --> 0:20:40.400
<v Speaker 8>four nines of fidelity ninety nine point nine to nine

0:20:40.440 --> 0:20:43.320
<v Speaker 8>percent fidelity, which means that our cubits are the best

0:20:43.359 --> 0:20:45.359
<v Speaker 8>in the world and the highest quality and are the

0:20:45.440 --> 0:20:48.639
<v Speaker 8>most powerful. And so the twenty x speed up is

0:20:48.680 --> 0:20:53.240
<v Speaker 8>turning almost a month of classical computation using a GPU

0:20:53.359 --> 0:20:56.080
<v Speaker 8>data center into just a day and a half. And

0:20:56.119 --> 0:20:58.520
<v Speaker 8>in fact, if you double click on that outcome, we

0:20:58.640 --> 0:21:00.920
<v Speaker 8>actually have portions of the problem that we sped up

0:21:01.240 --> 0:21:05.280
<v Speaker 8>by six hundred and fifty six times. The classical portions

0:21:05.280 --> 0:21:07.800
<v Speaker 8>of the workflow obviously kind of bring down the average,

0:21:08.040 --> 0:21:10.920
<v Speaker 8>but nevertheless, it's a tremendous example of what we're achieving

0:21:11.280 --> 0:21:13.760
<v Speaker 8>in the pharmaceutical the health tech space, if you will,

0:21:14.320 --> 0:21:17.560
<v Speaker 8>using our Forte enterprise systems. Now, our new computer that

0:21:17.600 --> 0:21:20.119
<v Speaker 8>we just announced two months ago in September twelve, Tempo

0:21:20.720 --> 0:21:23.879
<v Speaker 8>is two hundred and sixty million times more powerful than Forte,

0:21:24.240 --> 0:21:26.199
<v Speaker 8>and so you can imagine that we'll be turning not

0:21:26.280 --> 0:21:28.639
<v Speaker 8>just a month of computation into a day and a half,

0:21:28.880 --> 0:21:31.960
<v Speaker 8>but we aspire to turn a year of classical computation

0:21:32.040 --> 0:21:34.080
<v Speaker 8>in a day and a half on our newest machine.

0:21:34.160 --> 0:21:36.000
<v Speaker 2>We've only got a minute left. But you talk about

0:21:36.000 --> 0:21:38.919
<v Speaker 2>how you were the first really pioneering into the public markets, Nicolo,

0:21:39.119 --> 0:21:41.920
<v Speaker 2>public markets are full of anxiety right now. I just

0:21:41.960 --> 0:21:43.680
<v Speaker 2>shine a light on your own share price, which I

0:21:43.720 --> 0:21:45.840
<v Speaker 2>think is down about forty seven percent from its high

0:21:45.840 --> 0:21:48.560
<v Speaker 2>that we had up in October. How is that role

0:21:48.680 --> 0:21:49.800
<v Speaker 2>riding that roller coaster?

0:21:49.920 --> 0:21:53.560
<v Speaker 8>Briefly, well, look, when I say pioneering, it wasn't against

0:21:53.560 --> 0:21:56.639
<v Speaker 8>the public markets. We actually invented the quantum computing category

0:21:57.000 --> 0:21:59.359
<v Speaker 8>back in ninety five when we demonstrated the world's first

0:21:59.400 --> 0:22:02.680
<v Speaker 8>cubic gate at the University of Maryland, and we've pioneered

0:22:02.680 --> 0:22:06.080
<v Speaker 8>every milestone since then, both in the lab and commercially.

0:22:06.240 --> 0:22:08.920
<v Speaker 8>So being a public company we consider to be an

0:22:08.960 --> 0:22:11.720
<v Speaker 8>actual part of our revolution. You know, we raised three

0:22:11.760 --> 0:22:15.879
<v Speaker 8>billion dollars between July and October, and it's you know,

0:22:15.880 --> 0:22:20.920
<v Speaker 8>honestly been part of establishing the sector or communications opportunities

0:22:20.920 --> 0:22:24.000
<v Speaker 8>around the world and ultimately credibility that enables us to

0:22:24.080 --> 0:22:27.920
<v Speaker 8>drive both government traction and private sector commercial traction.

0:22:28.040 --> 0:22:31.439
<v Speaker 2>So we're catch Nikolos. I have to leave it there.

0:22:31.520 --> 0:22:41.440
<v Speaker 2>Nicolo Demassi, thank you. Welcome back to Blue meg Tech.

0:22:41.520 --> 0:22:44.840
<v Speaker 2>Let's tech equip check on these markets, because look, we're hired.

0:22:44.920 --> 0:22:46.399
<v Speaker 2>In fact, we are having the best day on the

0:22:46.480 --> 0:22:49.720
<v Speaker 2>NASTET one hundred since May twenty twenty five. We're up

0:22:49.720 --> 0:22:52.040
<v Speaker 2>two point three percent. Such is the volatility in the

0:22:52.080 --> 0:22:54.360
<v Speaker 2>market right now. Good and Video currently up one point

0:22:54.400 --> 0:22:57.199
<v Speaker 2>seven percent. Earlier in the moments in the show, it

0:22:57.240 --> 0:23:00.880
<v Speaker 2>was in the red, so we really see some anxiety

0:23:00.920 --> 0:23:04.080
<v Speaker 2>in the marketers we head towards holiday shortened week. Bitcoin

0:23:04.160 --> 0:23:06.239
<v Speaker 2>oh still in that anxious moment, we're off by nine

0:23:06.280 --> 0:23:08.840
<v Speaker 2>ten percent eighty seven thousand, but steadier than where we

0:23:08.840 --> 0:23:11.240
<v Speaker 2>were trading over the course of the weekend. So let's

0:23:11.280 --> 0:23:13.240
<v Speaker 2>break down what is causing some of the sell off

0:23:13.240 --> 0:23:17.360
<v Speaker 2>in these momentum trades, whether it's crypto, whether it stocks bitcoin.

0:23:17.640 --> 0:23:22.040
<v Speaker 2>Bloomberg crypto reporter Emily Nicole joins us Emily, Look, we

0:23:22.119 --> 0:23:25.639
<v Speaker 2>have had a wash out when it comes to ETF flows.

0:23:25.720 --> 0:23:27.840
<v Speaker 2>When it comes to more broadly some of the money,

0:23:27.880 --> 0:23:29.720
<v Speaker 2>the fast money that was in bitcoin. Are we seeing

0:23:29.760 --> 0:23:30.600
<v Speaker 2>some sort of studying.

0:23:32.560 --> 0:23:34.560
<v Speaker 9>We're definitely seeing a bit of recovery. I mean, it

0:23:34.600 --> 0:23:37.760
<v Speaker 9>went as low as eighty five hundred odd on Friday,

0:23:37.840 --> 0:23:40.000
<v Speaker 9>so going back up to about eighty seven thousand today,

0:23:40.000 --> 0:23:43.040
<v Speaker 9>that seems like a pretty good recovery for bitcoin. On

0:23:43.080 --> 0:23:45.200
<v Speaker 9>the ETF front, We're not really going to know the

0:23:45.280 --> 0:23:47.080
<v Speaker 9>data until the end of the day, that's all. We

0:23:47.160 --> 0:23:49.560
<v Speaker 9>might see more of the institutional activity coming in, but

0:23:49.640 --> 0:23:51.600
<v Speaker 9>definitely those who trade over the weekend, those are the

0:23:51.640 --> 0:23:54.520
<v Speaker 9>retail traders predominantly. We're definitely seeing a bit more confidence

0:23:54.560 --> 0:23:55.520
<v Speaker 9>coming back to the market.

0:23:55.880 --> 0:23:58.560
<v Speaker 2>I mean, the key number for everyone to be focusing

0:23:58.560 --> 0:24:00.639
<v Speaker 2>on is that this is the worst month on track

0:24:00.720 --> 0:24:03.720
<v Speaker 2>for the worst month since the FTX crisis, since twenty

0:24:03.760 --> 0:24:06.439
<v Speaker 2>twenty two, does it feel like that in the anxiety

0:24:06.440 --> 0:24:09.400
<v Speaker 2>in the market right now, It.

0:24:09.400 --> 0:24:12.199
<v Speaker 9>Definitely feels very unstable. You know, like when everything was

0:24:12.200 --> 0:24:14.439
<v Speaker 9>happening in twenty twenty two, there were clear catalysts for

0:24:14.480 --> 0:24:18.119
<v Speaker 9>why everything was down. We had strings of bankruptcies, fraud scandals,

0:24:18.119 --> 0:24:20.720
<v Speaker 9>you name it. This time around, there isn't really that

0:24:20.840 --> 0:24:23.199
<v Speaker 9>kind of catalyst. We've seen some kind of weakness in

0:24:23.200 --> 0:24:25.840
<v Speaker 9>the crypto market with the mass liquidations that were happening

0:24:25.880 --> 0:24:29.120
<v Speaker 9>in early October. That means that liquidity is kind of down,

0:24:29.160 --> 0:24:32.000
<v Speaker 9>so you would expect some more volatility in bitcoin. And

0:24:32.040 --> 0:24:34.800
<v Speaker 9>then we've also had you know, that's like companies like

0:24:34.840 --> 0:24:38.240
<v Speaker 9>Strategy that acquire lots of cryptocurrency and use that to

0:24:38.880 --> 0:24:41.600
<v Speaker 9>propel their prices upwards. Lots of those have been launching

0:24:41.600 --> 0:24:43.919
<v Speaker 9>into the market and not doing very well. And so

0:24:44.160 --> 0:24:46.080
<v Speaker 9>there are various kind of things that you can point to,

0:24:46.160 --> 0:24:48.760
<v Speaker 9>you know, even the instability and tech stocks in the

0:24:48.840 --> 0:24:51.080
<v Speaker 9>last week, that you can point to and say, maybe

0:24:51.080 --> 0:24:53.800
<v Speaker 9>that's why bitcoin's having this moment. But because there's no

0:24:53.880 --> 0:24:56.840
<v Speaker 9>clear catalyst, no clear sign of why something's so unstable,

0:24:57.080 --> 0:24:59.119
<v Speaker 9>nobody can really point to why it's having such a

0:24:59.160 --> 0:24:59.680
<v Speaker 9>down month.

0:25:00.080 --> 0:25:01.920
<v Speaker 2>Is it also because we're at the end of the year.

0:25:02.320 --> 0:25:05.080
<v Speaker 2>I always think of tax loss harvesting in many ways

0:25:05.200 --> 0:25:07.600
<v Speaker 2>must be in the eye of focus for a lot

0:25:07.600 --> 0:25:08.639
<v Speaker 2>of crypto investors.

0:25:11.000 --> 0:25:13.360
<v Speaker 9>There's always that potential. You know, people are still kind

0:25:13.359 --> 0:25:15.760
<v Speaker 9>of uncertain as to how to even do tax with bitcoin.

0:25:15.800 --> 0:25:18.120
<v Speaker 9>I think not everybody is as clear as how how

0:25:18.240 --> 0:25:20.600
<v Speaker 9>crypto assets are valued, particularly around the world. It differs

0:25:20.640 --> 0:25:22.600
<v Speaker 9>depending on the country you're in, so there could be

0:25:22.640 --> 0:25:24.680
<v Speaker 9>some of that going on. That's not to say though,

0:25:24.720 --> 0:25:26.600
<v Speaker 9>that this is not really an ideal time to be

0:25:26.640 --> 0:25:29.040
<v Speaker 9>selling your bitcoin. It was, you know, over one hundred

0:25:29.040 --> 0:25:31.800
<v Speaker 9>thousand only only earlier this year, So if you were

0:25:31.800 --> 0:25:33.880
<v Speaker 9>looking at selling and taking a profit, I guess eighty

0:25:33.880 --> 0:25:36.119
<v Speaker 9>thousand isn't really the value you wanted to be selling at.

0:25:36.400 --> 0:25:40.239
<v Speaker 2>Emily Nicole, great breakdown, Thank you very much. Indeed on

0:25:40.280 --> 0:25:42.920
<v Speaker 2>all things bitcoin. Look, let's stick with crypto more broadly though,

0:25:42.920 --> 0:25:46.240
<v Speaker 2>because special purpose acquisition companies, you know, the muss facts

0:25:46.560 --> 0:25:49.240
<v Speaker 2>they've made a comeback and then now latching onto guess

0:25:49.240 --> 0:25:52.439
<v Speaker 2>what crypto treasury companies such as the Strategy As we're

0:25:52.480 --> 0:25:56.400
<v Speaker 2>hearing Emily Nicole discuss it's all about emerging tech as

0:25:56.440 --> 0:25:59.160
<v Speaker 2>well as quantum computing. It seems as though when amendmentum

0:25:59.280 --> 0:26:01.520
<v Speaker 2>trait is really there, but research is a warning that

0:26:01.600 --> 0:26:04.440
<v Speaker 2>many every day investors betting on these types of companies

0:26:04.640 --> 0:26:07.320
<v Speaker 2>allowable to lose money. Bloombag's Bailey Lipshals is here for

0:26:07.359 --> 0:26:11.479
<v Speaker 2>all things momentum. So SPACs they're back, but the mean

0:26:11.600 --> 0:26:15.560
<v Speaker 2>sort of getting into the world of crypto treasury companies too.

0:26:15.840 --> 0:26:18.680
<v Speaker 2>Why are they seemingly a match made in heaven or hell, well,

0:26:18.680 --> 0:26:19.080
<v Speaker 2>it's a.

0:26:18.960 --> 0:26:21.560
<v Speaker 10>Match made in heaven because to your point, momentum, so

0:26:21.680 --> 0:26:24.120
<v Speaker 10>things that are trendy are where we've seen SPACs flock

0:26:24.200 --> 0:26:26.200
<v Speaker 10>to think back to Spack one point zero or two

0:26:26.200 --> 0:26:28.880
<v Speaker 10>point zero, depending how long you've been following the industry. Eves,

0:26:29.000 --> 0:26:32.120
<v Speaker 10>we saw Nicol Logo Public, we saw draft Kings when

0:26:32.119 --> 0:26:34.800
<v Speaker 10>sports betting was starting to pick up steam. So as

0:26:34.840 --> 0:26:37.639
<v Speaker 10>we see the transition, as we saw a rush of companies,

0:26:37.640 --> 0:26:40.399
<v Speaker 10>whether it was reverse mergers over the summer, creating digital

0:26:40.400 --> 0:26:43.080
<v Speaker 10>asset treasuries or now SPACs, it really is kind of

0:26:43.160 --> 0:26:45.240
<v Speaker 10>latching onto the latest theme. And then we've seen that

0:26:45.720 --> 0:26:48.960
<v Speaker 10>parlayer turn into quantum just given that the majority of

0:26:49.000 --> 0:26:52.200
<v Speaker 10>companies that are already publicly listed were quantum de SPACs

0:26:52.320 --> 0:26:54.760
<v Speaker 10>back in twenty twenty and twenty twenty one.

0:26:54.800 --> 0:26:58.200
<v Speaker 2>Some people very close to administration are losing a lot

0:26:58.200 --> 0:26:59.720
<v Speaker 2>of money in that. It felt like a lot of

0:26:59.720 --> 0:27:02.840
<v Speaker 2>the sons were out there talking about these digital asset

0:27:02.880 --> 0:27:05.359
<v Speaker 2>treasury companies. Are they hurting? Are they underwater?

0:27:05.680 --> 0:27:08.080
<v Speaker 10>Well, they're hurting is really when you look at the

0:27:08.119 --> 0:27:11.160
<v Speaker 10>whole pitch of dats over the summer, was we can

0:27:11.359 --> 0:27:14.440
<v Speaker 10>traded a premium to the actual cryptocurrencies we're holding and

0:27:14.480 --> 0:27:18.120
<v Speaker 10>will continue to sell shares or convertible debt to fund that. Well,

0:27:18.200 --> 0:27:21.000
<v Speaker 10>those premiums are evaporating. A number of these companies are

0:27:21.000 --> 0:27:23.359
<v Speaker 10>trading below that net asset value. So the big question

0:27:23.480 --> 0:27:27.600
<v Speaker 10>is if the whole market is propped up by companies

0:27:27.640 --> 0:27:31.159
<v Speaker 10>selling shares or converts to buy cryptocurrencies, Well, when we

0:27:31.280 --> 0:27:33.600
<v Speaker 10>enter a bear market, what happens next? And we're seeing

0:27:33.640 --> 0:27:35.960
<v Speaker 10>a lot of this kind of falling down quite a bit.

0:27:36.200 --> 0:27:39.240
<v Speaker 2>Now you've got a wonderful story where you quote Peter Atwater,

0:27:39.440 --> 0:27:42.440
<v Speaker 2>founder of Financial Insights, and he says all of these

0:27:43.000 --> 0:27:48.360
<v Speaker 2>spacks getting involved in crypto asset treasury companies in particular,

0:27:48.400 --> 0:27:52.200
<v Speaker 2>it looks like a a ta Ducan. Ducan, I would

0:27:52.240 --> 0:27:53.800
<v Speaker 2>call it a bird and a bird and a bird.

0:27:53.920 --> 0:27:55.400
<v Speaker 2>Here is a bird and a bird and a bird.

0:27:55.640 --> 0:27:57.439
<v Speaker 2>Why is he saying this is what it feels like?

0:27:57.640 --> 0:28:02.000
<v Speaker 10>So Traducans historically are are chicken stuffed and duck stucked

0:28:02.040 --> 0:28:04.080
<v Speaker 10>in turkey. So if you look at the graphic, the

0:28:04.160 --> 0:28:07.439
<v Speaker 10>crypto is the chicken stuffed in the duck, which is

0:28:07.520 --> 0:28:10.359
<v Speaker 10>the treasury company, which then gets stuffed sicious.

0:28:10.760 --> 0:28:11.680
<v Speaker 2>I've never had one.

0:28:11.800 --> 0:28:15.920
<v Speaker 10>Supposedly they're awesome if they're done well. But the comparison

0:28:16.000 --> 0:28:19.400
<v Speaker 10>from Peter it seems pretty spot on because you're taking

0:28:19.720 --> 0:28:22.840
<v Speaker 10>kind of a concept, if you will, with cryptocurrencies. You're

0:28:22.880 --> 0:28:25.240
<v Speaker 10>putting it into a dats, which were all the rage,

0:28:25.240 --> 0:28:26.720
<v Speaker 10>and then it's like, okay, well why don't we marry

0:28:26.720 --> 0:28:28.760
<v Speaker 10>those with SPACs? And we saw that and are continuing

0:28:28.760 --> 0:28:29.520
<v Speaker 10>to see that play out.

0:28:30.240 --> 0:28:34.119
<v Speaker 2>We'll see if it cooks well or not. You can

0:28:34.200 --> 0:28:36.840
<v Speaker 2>take this analogy from many a place by any Lipschualt's

0:28:36.840 --> 0:28:40.240
<v Speaker 2>ahead of Thanksgiving, we needed that kind of story. Meanwhile,

0:28:40.240 --> 0:28:42.680
<v Speaker 2>coming up, Lily Lyman from Underscore VC joins us to

0:28:42.680 --> 0:28:46.800
<v Speaker 2>discuss how AI can drastically impact discoveries in science and healthcare.

0:28:47.120 --> 0:28:56.640
<v Speaker 2>That's next. This is Blue Beg Tech. We've been talking

0:28:57.120 --> 0:28:59.960
<v Speaker 2>all day, all weeks about the concerns around the amount

0:29:00.280 --> 0:29:02.600
<v Speaker 2>debt that firms are taking on in support of the

0:29:02.680 --> 0:29:05.800
<v Speaker 2>data center build out. So there's another d that could

0:29:05.840 --> 0:29:09.200
<v Speaker 2>throw a wrench in the AI boom. Depreciation putting Bagsdina

0:29:09.240 --> 0:29:11.560
<v Speaker 2>maass you cover as AI Infrastructure has been writing about

0:29:11.600 --> 0:29:15.520
<v Speaker 2>the life span of aigpus and bringing bout BusinessWeek You

0:29:15.600 --> 0:29:17.800
<v Speaker 2>join us now. Michael Burr has been talking about it.

0:29:17.840 --> 0:29:20.120
<v Speaker 2>Other player has been talking about it. Should we have

0:29:20.200 --> 0:29:24.320
<v Speaker 2>anxiety about depreciation of mgpus dita, So it's very hard

0:29:24.320 --> 0:29:24.560
<v Speaker 2>to say.

0:29:24.640 --> 0:29:26.440
<v Speaker 11>We're going to talk a little bit more about accounting

0:29:26.480 --> 0:29:28.440
<v Speaker 11>one on one here. So when you buy a lot

0:29:28.440 --> 0:29:32.280
<v Speaker 11>of physical assets, a company has to decide what the

0:29:32.360 --> 0:29:35.160
<v Speaker 11>useful life span of those assets is and write it

0:29:35.240 --> 0:29:37.880
<v Speaker 11>down over the course of that time period. It's called

0:29:37.960 --> 0:29:44.680
<v Speaker 11>depreciation GPUs, which companies like Meta, like Google, like Microsoft,

0:29:44.840 --> 0:29:47.400
<v Speaker 11>like open Ai are spending tens of billions of dollars

0:29:47.400 --> 0:29:49.840
<v Speaker 11>on them. We really only have a couple of years

0:29:49.880 --> 0:29:53.480
<v Speaker 11>of useful data for how long the current generations of

0:29:53.520 --> 0:29:56.320
<v Speaker 11>those will last and so most of the companies are

0:29:56.360 --> 0:29:58.480
<v Speaker 11>saying are writing them down over the course of five

0:29:58.560 --> 0:29:59.400
<v Speaker 11>to six years.

0:29:59.600 --> 0:30:01.200
<v Speaker 2>But there's real concern.

0:30:00.840 --> 0:30:03.520
<v Speaker 11>Because, as we all know in Nvidia is committed to

0:30:03.600 --> 0:30:06.880
<v Speaker 11>putting out new ones annually and is sort of trying

0:30:06.880 --> 0:30:09.240
<v Speaker 11>to obsolete its own product. So there's a real concern

0:30:09.280 --> 0:30:12.360
<v Speaker 11>about what happens to those how long can they be used?

0:30:12.840 --> 0:30:15.400
<v Speaker 11>If you're writing them down over too long a period

0:30:15.400 --> 0:30:19.200
<v Speaker 11>of time, you might be artificially boosting your profits.

0:30:19.720 --> 0:30:22.040
<v Speaker 2>What was interesting was in in VideA earnings they said,

0:30:22.120 --> 0:30:25.040
<v Speaker 2>look a one hundreds which have actually been officially discontinued,

0:30:25.200 --> 0:30:28.040
<v Speaker 2>they're still up and running. They're still working and efficiently.

0:30:28.080 --> 0:30:29.479
<v Speaker 2>So so they were trying to sort of put some

0:30:29.960 --> 0:30:32.480
<v Speaker 2>calm amid this anxiety. You've got a great quote coming

0:30:32.480 --> 0:30:34.720
<v Speaker 2>from Sarah fry the CFO of open Ai, of course,

0:30:35.000 --> 0:30:39.280
<v Speaker 2>who'd been talking about how they're structuring their GPU depreciation.

0:30:39.760 --> 0:30:42.719
<v Speaker 11>Sure, so Sarah Friar said to us, look, you know,

0:30:43.120 --> 0:30:45.320
<v Speaker 11>on the one hand, we don't really know is it

0:30:45.400 --> 0:30:47.640
<v Speaker 11>four years, is it six years? But what open Ai

0:30:47.840 --> 0:30:51.160
<v Speaker 11>has seen is that they feel good that it's at

0:30:51.240 --> 0:30:53.560
<v Speaker 11>least five and the reason is that they know that

0:30:53.600 --> 0:30:56.480
<v Speaker 11>they're still using their A one hundreds, and the basic

0:30:56.560 --> 0:30:59.440
<v Speaker 11>idea for you know, companies like open ai is use

0:30:59.480 --> 0:31:02.760
<v Speaker 11>the latest chips, the nvideo Blackwells for things like the

0:31:02.920 --> 0:31:05.240
<v Speaker 11>very high end training of the absolute top of the

0:31:05.280 --> 0:31:08.840
<v Speaker 11>line frontier models. The older chips can still be very

0:31:09.000 --> 0:31:12.440
<v Speaker 11>useful for things like inference, so running the actual models.

0:31:12.480 --> 0:31:14.520
<v Speaker 11>And so that's the way that they think that this

0:31:14.640 --> 0:31:17.840
<v Speaker 11>all works. But that all requires, you know, the data

0:31:17.880 --> 0:31:20.360
<v Speaker 11>centers to be what everyone's been calling Satanadel has been

0:31:20.360 --> 0:31:23.880
<v Speaker 11>calling fungible. So it means you can switch what the

0:31:23.960 --> 0:31:27.400
<v Speaker 11>data center does from from training to inference. You can

0:31:27.440 --> 0:31:29.400
<v Speaker 11>switch from one customer to the next. So when a

0:31:29.440 --> 0:31:32.360
<v Speaker 11>customer rolls off and a chip is a little older,

0:31:32.400 --> 0:31:33.640
<v Speaker 11>can you find a new.

0:31:33.480 --> 0:31:35.240
<v Speaker 2>Customer take that older chip.

0:31:35.680 --> 0:31:37.680
<v Speaker 11>That's a lot of the question around, you know, quote

0:31:37.720 --> 0:31:39.920
<v Speaker 11>unquote how fungible these data centers are.

0:31:40.360 --> 0:31:43.600
<v Speaker 2>Well, look, cooleyve was fungible from being a bitcoin minor

0:31:43.680 --> 0:31:46.560
<v Speaker 2>with its GPUs to them being an AI company, and

0:31:46.600 --> 0:31:49.200
<v Speaker 2>many of these neo clouds have pivoted in that way.

0:31:49.320 --> 0:31:52.240
<v Speaker 2>Jan And lastly, we're looking at I've looked at KKR

0:31:52.320 --> 0:31:55.840
<v Speaker 2>for example. They're talking about potential froth and AI investment

0:31:56.040 --> 0:31:58.800
<v Speaker 2>more broadly, and they're sort of trying to understand how

0:31:58.840 --> 0:32:02.280
<v Speaker 2>the end user is using their data centers, but really

0:32:02.640 --> 0:32:04.440
<v Speaker 2>who is on the hook for all of it? They're

0:32:04.440 --> 0:32:08.200
<v Speaker 2>trying to say, Look, data center owners, operators, often it's

0:32:08.240 --> 0:32:11.520
<v Speaker 2>going to be the Lisa who is guaranteed long term payment?

0:32:11.840 --> 0:32:14.600
<v Speaker 2>Do we know who really has to hold the baby

0:32:14.640 --> 0:32:15.480
<v Speaker 2>here and the bust?

0:32:16.160 --> 0:32:18.120
<v Speaker 11>I keep asking people the same question, you know, when

0:32:18.120 --> 0:32:20.720
<v Speaker 11>the music stops, who doesn't have a chair? Because as

0:32:20.720 --> 0:32:24.040
<v Speaker 11>you mentioned about about debt, there's been you know, large

0:32:24.040 --> 0:32:27.239
<v Speaker 11>amounts of debt contracts, you know, financing.

0:32:26.720 --> 0:32:27.680
<v Speaker 2>Of these GPUs.

0:32:27.840 --> 0:32:31.480
<v Speaker 11>And if the GPUs are useful for less time than

0:32:31.520 --> 0:32:34.479
<v Speaker 11>we think, what are the people that you know are

0:32:34.520 --> 0:32:37.360
<v Speaker 11>holding debt on them do do they ask for more collateral?

0:32:37.480 --> 0:32:37.800
<v Speaker 2>Do they?

0:32:38.400 --> 0:32:38.600
<v Speaker 3>You know?

0:32:38.680 --> 0:32:41.120
<v Speaker 11>How does this all go? And you know people that

0:32:41.160 --> 0:32:44.040
<v Speaker 11>we spoke to dead say that regulators and investors have

0:32:44.120 --> 0:32:47.480
<v Speaker 11>to think about how far the quote contagion is going

0:32:47.520 --> 0:32:51.400
<v Speaker 11>to spread if this all, you know, sort of comes

0:32:51.400 --> 0:32:52.560
<v Speaker 11>home to roost at once.

0:32:53.440 --> 0:32:57.160
<v Speaker 2>Dana Bass on the optimistic side, we appreciate it, lovely

0:32:57.200 --> 0:32:59.840
<v Speaker 2>to have you in town amid this Thanksgiving holiday. With

0:33:00.160 --> 0:33:03.120
<v Speaker 2>appreciate it. Meanwhile, markets, look they're trying to weigh the

0:33:03.200 --> 0:33:06.600
<v Speaker 2>risk of depreciation on one side, but there's also the hope,

0:33:06.640 --> 0:33:09.000
<v Speaker 2>the hope that AI will pay off, particularly say in

0:33:09.040 --> 0:33:12.640
<v Speaker 2>life sciences and healthcare discoveries. Already, major AI pays like

0:33:12.680 --> 0:33:15.400
<v Speaker 2>Anthropic have stepped into this area with models aimed at

0:33:15.440 --> 0:33:18.959
<v Speaker 2>boosting research and development. Now investors see an opportunity too.

0:33:19.400 --> 0:33:22.280
<v Speaker 2>Lelyman is managing partner over Unschool VC as a Boston

0:33:22.320 --> 0:33:25.880
<v Speaker 2>based early stage investor in startups like Tetrascience, h one

0:33:26.000 --> 0:33:30.840
<v Speaker 2>Quilt Health in New York, not Boston. You really think Boston, though,

0:33:30.920 --> 0:33:34.040
<v Speaker 2>is going to potentially be a winning trade when you

0:33:34.080 --> 0:33:36.680
<v Speaker 2>think about the confluence of what's going to win out

0:33:36.840 --> 0:33:39.240
<v Speaker 2>if healthcare is supercharged by AI.

0:33:39.960 --> 0:33:41.800
<v Speaker 12>Well, Caroline, thanks so much for having me here in

0:33:41.840 --> 0:33:44.000
<v Speaker 12>the studio. It's great to be back and look, as

0:33:44.000 --> 0:33:46.360
<v Speaker 12>investors are always looking for a clearer why now in

0:33:46.400 --> 0:33:50.240
<v Speaker 12>a market opportunity, and we are certainly seeing a signs

0:33:50.280 --> 0:33:54.760
<v Speaker 12>of transformation in life sciences and AI. What's changed is

0:33:54.800 --> 0:33:57.200
<v Speaker 12>that we now have the data, we have the sophistication

0:33:57.240 --> 0:33:59.840
<v Speaker 12>of the models, that we have real industry pull to

0:34:00.080 --> 0:34:02.720
<v Speaker 12>unlock this potential, and what it could do is unlocked

0:34:02.720 --> 0:34:06.080
<v Speaker 12>four trillion dollars worth of value across life sciences and healthcare.

0:34:06.560 --> 0:34:09.360
<v Speaker 12>What's changed is that biology is no longer just a

0:34:09.360 --> 0:34:13.800
<v Speaker 12>wet lab discipline. It is now a data and information industry.

0:34:13.800 --> 0:34:16.160
<v Speaker 12>Many people are calling it tech bio, and we had

0:34:16.200 --> 0:34:18.680
<v Speaker 12>Underscore as preceed and seed investors and particularly based in

0:34:18.719 --> 0:34:21.880
<v Speaker 12>Boston are incredibly excited about this because it's opened up

0:34:21.920 --> 0:34:24.480
<v Speaker 12>a whole new world of software investing opportunities in the

0:34:24.520 --> 0:34:25.760
<v Speaker 12>world of science.

0:34:26.680 --> 0:34:29.160
<v Speaker 2>Can I go to that four trillion number? Yeah, what's

0:34:29.200 --> 0:34:32.160
<v Speaker 2>that pegtopon? What is it that we're seeing that will

0:34:32.200 --> 0:34:35.600
<v Speaker 2>be fueled and to goner four trillion dollars of worth?

0:34:36.160 --> 0:34:38.080
<v Speaker 12>Well, if you think about what the life science and

0:34:38.080 --> 0:34:40.480
<v Speaker 12>the combination of life sciences and actually honestly all of

0:34:40.480 --> 0:34:43.839
<v Speaker 12>scientific data and healthcare, it's across the gamut of how

0:34:43.880 --> 0:34:46.040
<v Speaker 12>this gets done today. I mean today it takes two

0:34:46.080 --> 0:34:49.480
<v Speaker 12>to three billion dollars per drug and decades to develop

0:34:49.560 --> 0:34:52.960
<v Speaker 12>these therapies. Think about if that can get cost you know,

0:34:53.160 --> 0:34:54.840
<v Speaker 12>if that can get changed to be a fraction of

0:34:54.840 --> 0:34:57.680
<v Speaker 12>the cost and a fraction of the time. The economic

0:34:57.719 --> 0:35:00.520
<v Speaker 12>and the human impact of that is absolutely enormous. So

0:35:00.560 --> 0:35:03.040
<v Speaker 12>the opportunity we see is across the entire value chain

0:35:03.239 --> 0:35:06.359
<v Speaker 12>in life sciences. So whether it's research and discovery, whether

0:35:06.400 --> 0:35:10.560
<v Speaker 12>it's in preclinical and clinical trials, and services, manufacturing, development,

0:35:10.560 --> 0:35:12.960
<v Speaker 12>and deployment. You put all that together and it's not

0:35:13.000 --> 0:35:14.480
<v Speaker 12>hard to see how there could be a four trillion

0:35:14.520 --> 0:35:15.840
<v Speaker 12>dollar opportunity coming out of this.

0:35:15.960 --> 0:35:18.720
<v Speaker 2>And you said, you're seeing signs. What all the signs

0:35:18.760 --> 0:35:22.240
<v Speaker 2>on what all the software companies that are leveraging those signs.

0:35:22.640 --> 0:35:25.680
<v Speaker 12>We're seeing signs across all the different players in the market.

0:35:25.760 --> 0:35:28.480
<v Speaker 12>So the major pharma companies are certainly making moves in

0:35:28.480 --> 0:35:30.880
<v Speaker 12>this space. They are under enormous pressures. I mean, the

0:35:30.920 --> 0:35:33.680
<v Speaker 12>cost of R and D is rising. It basically doubles

0:35:33.719 --> 0:35:37.160
<v Speaker 12>every nine years. They are facing issues with their margins.

0:35:37.400 --> 0:35:39.520
<v Speaker 12>They're facing a potential two hundred and sixty billion dollar

0:35:39.640 --> 0:35:43.000
<v Speaker 12>revenue cliff as some of their patents expired, and so

0:35:43.040 --> 0:35:44.800
<v Speaker 12>that's creating the market poll.

0:35:44.680 --> 0:35:45.799
<v Speaker 2>For AI solutions.

0:35:46.239 --> 0:35:49.239
<v Speaker 12>They are partnering with often many times startup companies. So

0:35:49.280 --> 0:35:52.719
<v Speaker 12>for example, Taketa just launched their partnership with Tetrascience, which

0:35:52.760 --> 0:35:55.759
<v Speaker 12>is a company we're invested in. Think of Tetrascience like

0:35:55.880 --> 0:35:59.839
<v Speaker 12>the snowflake specifically for scientific data and what it's doing

0:35:59.880 --> 0:36:03.640
<v Speaker 12>is it's partnering with all the major technology players in Vidia, Google, Microsoft,

0:36:03.760 --> 0:36:07.759
<v Speaker 12>Data Bricks, Snowflake and rallying the tech stack around this

0:36:07.800 --> 0:36:11.080
<v Speaker 12>opportunity to unlock scientific data so it can actually be

0:36:11.200 --> 0:36:13.319
<v Speaker 12>used by models. And so in this one, what they're

0:36:13.360 --> 0:36:15.759
<v Speaker 12>able to do is working with Deicata on hundreds of

0:36:15.840 --> 0:36:17.600
<v Speaker 12>use cases so AI can sit on top and use

0:36:17.640 --> 0:36:21.280
<v Speaker 12>this data and it's driving ninety percent faster workflows, forty

0:36:21.320 --> 0:36:24.120
<v Speaker 12>percent increase in productivity. So we're seeing that type of

0:36:24.120 --> 0:36:27.600
<v Speaker 12>adoption in partnership across the major pharma players and startups.

0:36:27.719 --> 0:36:32.240
<v Speaker 2>How does a photo company compete with an anthropic who's

0:36:32.239 --> 0:36:33.560
<v Speaker 2>getting into a similar space.

0:36:33.920 --> 0:36:36.440
<v Speaker 12>People always love to ask that question, how do how

0:36:36.480 --> 0:36:39.879
<v Speaker 12>do startups compete with the incumbents? And I always think that, yes,

0:36:39.920 --> 0:36:44.440
<v Speaker 12>incumbents have the advantage of data and distribution, but startups

0:36:44.440 --> 0:36:48.080
<v Speaker 12>have the advantage of focus and speed. And so we're

0:36:48.080 --> 0:36:51.120
<v Speaker 12>seeing those opportunities across the board. I mean, there's a

0:36:51.160 --> 0:36:54.319
<v Speaker 12>company we're invested in called Terraflow, which is automating the

0:36:54.560 --> 0:36:58.640
<v Speaker 12>analysis and data around flow cytometry, and again I mentioned Tetrascience.

0:36:58.880 --> 0:37:01.680
<v Speaker 12>You know, these are opportunities that require very specific domain

0:37:01.719 --> 0:37:04.080
<v Speaker 12>focus very specific types of people who can do it,

0:37:04.320 --> 0:37:06.359
<v Speaker 12>and the ability to build in an AI native way

0:37:06.400 --> 0:37:09.839
<v Speaker 12>from the ground up. The nthropics of the world. Open

0:37:09.880 --> 0:37:12.000
<v Speaker 12>AI is also launched in this space. They also are

0:37:12.000 --> 0:37:14.360
<v Speaker 12>going to need to do the practical implementation and so

0:37:14.360 --> 0:37:16.319
<v Speaker 12>they're going to need partners along the way to do it.

0:37:16.360 --> 0:37:18.200
<v Speaker 12>So I think it's not a zero sum game. I

0:37:18.239 --> 0:37:21.040
<v Speaker 12>think there's an opportunity for collaboration, Sony, you think so.

0:37:21.160 --> 0:37:23.480
<v Speaker 2>Lillly Lyman is over in New York for a short while.

0:37:23.480 --> 0:37:26.120
<v Speaker 2>We appreciate her coming into the studio. Managing partner at

0:37:26.200 --> 0:37:35.520
<v Speaker 2>Underscore VC online travel and experience booking company Peak, it

0:37:35.600 --> 0:37:38.520
<v Speaker 2>is doubling down on AI. It's acquiring ACME Ticketing and

0:37:38.560 --> 0:37:41.000
<v Speaker 2>Connect and Go and the move Physician's Peak to expand

0:37:41.040 --> 0:37:44.560
<v Speaker 2>its reach across museums, theme parks, tours and other attractions.

0:37:44.880 --> 0:37:48.080
<v Speaker 2>The company also raised additional seventy million dollars in funding.

0:37:48.080 --> 0:37:50.880
<v Speaker 2>Here to talk it all through is Peak c Rizwana Busche.

0:37:51.000 --> 0:37:54.760
<v Speaker 2>So you call yourself the Shop of five Experiences, explain

0:37:54.840 --> 0:37:58.520
<v Speaker 2>what that is basically with the operating system that works

0:37:58.600 --> 0:38:02.399
<v Speaker 2>with museum, tours and activities providers, and we provide all

0:38:02.440 --> 0:38:04.600
<v Speaker 2>of the tooling they need to run their business, so

0:38:04.680 --> 0:38:08.200
<v Speaker 2>online booking and payments, everything that you do on site

0:38:08.239 --> 0:38:11.360
<v Speaker 2>as you're checking in all the way through to marketing,

0:38:11.520 --> 0:38:14.240
<v Speaker 2>business analytics, collecting reviews.

0:38:14.320 --> 0:38:17.800
<v Speaker 13>We really are that end to end backbone for everything

0:38:17.840 --> 0:38:20.759
<v Speaker 13>that a business needs to operate, and that backbone is

0:38:20.760 --> 0:38:23.160
<v Speaker 13>solidified by your M and A. So told to us

0:38:23.200 --> 0:38:25.160
<v Speaker 13>a little bit what ACME brings to the equation or

0:38:25.239 --> 0:38:25.839
<v Speaker 13>connecting GO.

0:38:25.960 --> 0:38:27.680
<v Speaker 2>How are they fueling the growth?

0:38:27.880 --> 0:38:30.680
<v Speaker 13>Absolutely, so you know what we saw off the last

0:38:30.680 --> 0:38:32.520
<v Speaker 13>couple of years. We really got to know these businesses

0:38:32.560 --> 0:38:36.040
<v Speaker 13>and they've done incredible jobs in working for very specific

0:38:36.920 --> 0:38:40.120
<v Speaker 13>verticals and so as an example, you know, ACME has

0:38:40.120 --> 0:38:45.000
<v Speaker 13>built incredible infrastructure and ticketing for museums and iconic cultural attractions.

0:38:45.120 --> 0:38:47.080
<v Speaker 13>Think about that is here in New York, things like

0:38:47.120 --> 0:38:50.120
<v Speaker 13>the MoMA, the Whitney Museum, the Fret Collection. So that

0:38:50.160 --> 0:38:53.120
<v Speaker 13>includes memberships and donation management, and so they've done a

0:38:53.160 --> 0:38:55.640
<v Speaker 13>fantastic job there. That's something that we can incorporate into

0:38:55.680 --> 0:38:58.279
<v Speaker 13>everything that we're doing at peak and Connecting GO really

0:38:58.320 --> 0:39:01.040
<v Speaker 13>double down on theme paks, on water parks, and so

0:39:01.080 --> 0:39:04.399
<v Speaker 13>that means that RFID technology that you've probably used when

0:39:04.440 --> 0:39:05.400
<v Speaker 13>you've taken.

0:39:05.120 --> 0:39:08.560
<v Speaker 2>Your kids in a water partners we can for my sins exactly,

0:39:08.640 --> 0:39:09.480
<v Speaker 2>so you've used that.

0:39:10.040 --> 0:39:13.399
<v Speaker 13>So they've done a great job on that technology, alongside

0:39:13.520 --> 0:39:17.319
<v Speaker 13>a lot of things around online sorry online and on

0:39:17.400 --> 0:39:20.600
<v Speaker 13>site guest services, things like F and B and so,

0:39:20.840 --> 0:39:23.759
<v Speaker 13>you know, bringing these three companies together, we get a

0:39:23.840 --> 0:39:26.719
<v Speaker 13>huge advantage by being able to have a lot of

0:39:26.880 --> 0:39:30.120
<v Speaker 13>synergies as well as being able to you know, take

0:39:30.160 --> 0:39:33.240
<v Speaker 13>all of the best features and cross pollinate them across

0:39:33.400 --> 0:39:36.080
<v Speaker 13>the platforms. And the last piece, obviously, is just that

0:39:36.280 --> 0:39:39.200
<v Speaker 13>we've been real innovators on the AI side, and so

0:39:39.280 --> 0:39:41.279
<v Speaker 13>we're now in a position to take all of the

0:39:41.320 --> 0:39:43.920
<v Speaker 13>things that we've learned and take them across.

0:39:43.680 --> 0:39:46.280
<v Speaker 2>The So what sort of innovations in AI really?

0:39:46.320 --> 0:39:49.239
<v Speaker 13>You know, last year we went and pulled our businesses

0:39:49.360 --> 0:39:51.960
<v Speaker 13>and over eighty percent of them said we know, we

0:39:52.000 --> 0:39:54.759
<v Speaker 13>really want to use AI, but only ten percent word

0:39:54.840 --> 0:39:57.440
<v Speaker 13>using AI, and so it became very clear that for

0:39:57.520 --> 0:39:59.720
<v Speaker 13>us to be able to assist those merchants, we actually

0:39:59.719 --> 0:40:03.840
<v Speaker 13>needed to integrate AI tooling into our platform. So examples

0:40:03.880 --> 0:40:06.480
<v Speaker 13>of that have been first on revenue growth, which is

0:40:06.520 --> 0:40:12.440
<v Speaker 13>obviously incredibly important to businesses. We created AI Dynamic pricing tools,

0:40:12.560 --> 0:40:15.800
<v Speaker 13>so that means we're incorporating things like weather or seasonality

0:40:16.000 --> 0:40:19.279
<v Speaker 13>or frankly local demand. You know, think Taylor Swift is

0:40:19.280 --> 0:40:21.200
<v Speaker 13>coming to town. And what we were able to do

0:40:21.280 --> 0:40:24.480
<v Speaker 13>with that was layer that into the pricing for the

0:40:24.480 --> 0:40:28.440
<v Speaker 13>businesses to increase revenues by about five to twenty percent,

0:40:28.800 --> 0:40:33.040
<v Speaker 13>so massive impact on revenue growth. Another area that we've

0:40:33.040 --> 0:40:36.040
<v Speaker 13>really done a lat on AI has been around automating operations.

0:40:36.200 --> 0:40:38.520
<v Speaker 13>As you can imagine the businesses we work with, they

0:40:38.560 --> 0:40:42.320
<v Speaker 13>have a lot of manual, you know, back end operational tasks.

0:40:43.160 --> 0:40:45.359
<v Speaker 13>You know, Bryant Park ice skating here in New York

0:40:45.440 --> 0:40:48.000
<v Speaker 13>very popular this time of year. They have lots of

0:40:48.000 --> 0:40:51.920
<v Speaker 13>people trying to reschedule, so they're spending thousands of hours

0:40:51.640 --> 0:40:54.439
<v Speaker 13>on you know, these manual tasks. So we were able

0:40:54.480 --> 0:40:58.080
<v Speaker 13>to automate all of that work and in doing so

0:40:58.280 --> 0:41:01.799
<v Speaker 13>save them, you know, thousands of hours of time as

0:41:01.840 --> 0:41:04.239
<v Speaker 13>well as millions in costs. And I think the last

0:41:04.239 --> 0:41:07.440
<v Speaker 13>thing has really just been that there's a shifting consumer

0:41:07.520 --> 0:41:10.600
<v Speaker 13>demand landscape. We all know that over the last few years,

0:41:10.600 --> 0:41:13.440
<v Speaker 13>people have been moving towards things like TikTok for the

0:41:13.520 --> 0:41:16.200
<v Speaker 13>video content. You know, over half of consumers say that

0:41:16.200 --> 0:41:20.040
<v Speaker 13>they're inspired to book experiences based on what influencers think,

0:41:20.280 --> 0:41:22.719
<v Speaker 13>and yet the businesses we partnered with didn't have a

0:41:22.760 --> 0:41:25.600
<v Speaker 13>way to be able to meet that demand. And so,

0:41:25.920 --> 0:41:29.719
<v Speaker 13>you know, we created influencer marketing tools. With a click

0:41:29.760 --> 0:41:32.319
<v Speaker 13>of a button, they were able to reach hundreds of

0:41:32.320 --> 0:41:35.279
<v Speaker 13>thousands of potential travelers. And so in doing that, what

0:41:35.320 --> 0:41:38.440
<v Speaker 13>we're really allowing our operators to do is focus on

0:41:38.480 --> 0:41:40.760
<v Speaker 13>what they're really good at, which is delivering an incredible

0:41:40.760 --> 0:41:44.680
<v Speaker 13>customer experience while taking care of what is a huge

0:41:45.080 --> 0:41:46.279
<v Speaker 13>shift in the industry.

0:41:46.640 --> 0:41:50.279
<v Speaker 2>But that shift comes with costly talent. You've just raised

0:41:50.280 --> 0:41:52.600
<v Speaker 2>seventy million dollars. Is that what that's for is about

0:41:52.640 --> 0:41:54.680
<v Speaker 2>beefing up your own tech talent to be able to

0:41:54.760 --> 0:41:57.200
<v Speaker 2>bring more general to AI offerings to bear. Is it

0:41:57.239 --> 0:41:59.359
<v Speaker 2>about more acquisitions? Where does that fund of get put

0:41:59.440 --> 0:41:59.680
<v Speaker 2>to work?

0:42:00.080 --> 0:42:03.160
<v Speaker 13>It's absolutely it's about us consolidating all of the all

0:42:03.200 --> 0:42:06.840
<v Speaker 13>of the platforms as well as really layering in more AI.

0:42:07.560 --> 0:42:09.600
<v Speaker 13>So think about you know, the things we've already done

0:42:09.640 --> 0:42:13.640
<v Speaker 13>to automate operations. You know, we've now got hundreds of

0:42:13.680 --> 0:42:16.440
<v Speaker 13>agents working behind the scenes twenty four to seven to

0:42:16.520 --> 0:42:19.239
<v Speaker 13>do everything that the merchant needs. And so you know,

0:42:19.280 --> 0:42:21.640
<v Speaker 13>what we're really doing is doubling down on innovation, and

0:42:21.680 --> 0:42:24.520
<v Speaker 13>so that means tech talent, and it means also, you know,

0:42:24.560 --> 0:42:27.520
<v Speaker 13>an opportunity for us to double down on sales. You know,

0:42:27.520 --> 0:42:30.160
<v Speaker 13>one of the things that we've saw with the acquisitions

0:42:30.200 --> 0:42:34.160
<v Speaker 13>is that although Acimmune Connecting Go have fantastic customers, they've

0:42:34.160 --> 0:42:36.080
<v Speaker 13>actually done very little on the sales site. So we

0:42:36.160 --> 0:42:39.200
<v Speaker 13>want to bring those tools to market. So, you know,

0:42:39.320 --> 0:42:42.600
<v Speaker 13>AI plus sales allows us really to get our tools

0:42:42.600 --> 0:42:44.600
<v Speaker 13>into the hands of many more businesses and.

0:42:44.560 --> 0:42:46.399
<v Speaker 2>A few more experiences for all of us out there

0:42:46.400 --> 0:42:49.600
<v Speaker 2>this Thanksgiving and holiday season. Raswanna Basher coming on talking

0:42:49.600 --> 0:42:51.680
<v Speaker 2>about the M and A and the fundraiser peak. We

0:42:51.719 --> 0:42:53.640
<v Speaker 2>appreciate it now, that does it. But this edition of

0:42:53.640 --> 0:42:55.760
<v Speaker 2>Bloomberg's Heck, do not forget to check out our podcast

0:42:55.920 --> 0:42:57.800
<v Speaker 2>find on on the Terminal so well as on Oline,

0:42:57.840 --> 0:43:01.640
<v Speaker 2>on Apple, Spotify, and iHeart from New York. This is

0:43:01.680 --> 0:43:02.359
<v Speaker 2>pretty bag tack.

0:43:05.920 --> 0:43:06.319
<v Speaker 1>Mm hmm.